Andrew J. Krentz - Publications, H-index & Citations

Andrew J. Krentz

king's college london

33H指数

241论文数

5.4K被引数

收录论文 52

发表时间

Beyond Cardiovascular-Kidney-Metabolic Syndrome: Towards a Comprehensive Nexus of Cardiometabolic Multiple Long-term Conditions 超越心血管-肾脏-代谢综合征：迈向心血管代谢多种长期疾病的全面关联

European Journal of Preventive Cardiology

IF7.5

2026-09-09

PREAI

Andrew J Krentz, MD, PhD; Stephan Jacob, MD; Peter Libby, MD, PhD; Robert H Eckel, MD

CVOT Summit Report 2025: advances along the cardiovascular–kidney–metabolic disease continuum CVOT峰会报告2025：心血管-肾脏-代谢疾病连续谱上的进展

Cardiovascular Diabetology

IF10.6

2026-05-06

OAAI

Oliver Schnell; Arnav Agarwal; Michel Azizi; Dennis Ballwieser; Katharine Barnard-Kelly; Tadej Battelino; Dennis Ballwieser; Matthias Blüher; Elisabetta Bugianesi; Ana Cebrian; Antonio Ceriello; Pratik Choudhary; Thomas Danne; Colin M. Dayan; Stefano Del Prato; Robert H. Eckel; Paola Fioretto; Timothy Garvey; Jennifer B. Green; Hiddo J. L. Heerspink; Rury R. Holman; Baruch Itzhak; Stephan Jacob; Pardeep S. Jhund; Linong Ji; Parminder K. Judge; Kamlesh Khunti; Marko Korenjak; Andrew J. Krentz; Ekaterini Lambrinou; Peter Libby; Julia K. Mader; Johannes F. E. Mann; Nikolaus Marx; Chantal Mathieu; John J. V. McMurray; Dirk Müller-Wieland; Nikolaos Papanas; Dipesh C. Patel; Andreas F. H. Pfeiffer; Susanne Reger-Tan; Helena W. Rodbard; Giuseppe M. C. Rosano; Banshi Saboo; Naoki Sato; Scott D. Solomon; Eberhard Standl; Frank Tacke; Pinar Topsever; Christoph Wanner; Sean Wharton; Veronika Young

Benchmarking survival machine learning models for 10-year cardiovascular disease risk prediction using large-scale electronic health records 使用大规模电子健康记录对10年心血管疾病风险预测的生存机器学习模型进行基准测试

DIGITAL HEALTH

IF3.3

2026-01-22

PREAI

Tianyi Liu; Andrew Krentz; Lei Lu; Yanzhong Wang; Vasa Curcin

Improved cardiovascular outcomes with glucagon-like peptide-1 receptor agonists - what is the role of weight reduction?胰高血糖素样肽-1受体激动剂改善心血管结局——体重减轻的作用是什么？

CARDIOVASCULAR ENDOCRINOLOGY & METABOLISM

IF1.1

2025-12-01

PREAI

Jacob, Stephan; Eckel, Robert H.; Krentz, Andrew J.

Global cardiometabolic alliance: A clinical and research initiative addressing the 21st century pandemic of insulin resistance-associated disease 全球心代谢联盟：一项针对21世纪胰岛素抵抗相关疾病大流行的临床与研究倡议

diabetes obesity metabolism

IF0

2025-08-14

PREAI

Robert H. Eckel MD; Andrew J. Krentz MB; Stephan Jacob MD; Peter Libby MD

Optimising the therapeutic response of statins using real-world evidence and machine learning: Personalised precision dosing recommends lower statin doses for some patients

DIABETES OBESITY & METABOLISM

IF5.7

2024-11-08

PREAI

Krentz, Andrew; Fournier, Lisa; Castiglione, Thomas; Curcin, Vasa; Hamdane, Camil; Liu, Tianyi; Jaun, Andre

Rising to the challenge of cardio-renal-metabolic disease in the 21st century: Translating evidence into best clinical practice to prevent and manage atherosclerosis (vol 396, 118528, 2024)21世纪心肾代谢疾病的挑战: 将证据转化为预防和管理动脉粥样硬化的最佳临床实践 (396卷，118528，2024)

ATHEROSCLEROSIS

IF5.7

2024-11-01

OAAI

Krentz, Andrew; Jacob, Stephan; Heiss, Christian; Sattar, Naveed; Lim, Soo; Khunti, Kamlesh; Eckel, Robert H.

Comorbidity neural network model for personalised recommendations in cardiometabolic risk factor management: towards early precision medicine in routine clinical practice

EUROPEAN HEART JOURNAL

IF35.6

2024-10-28

PREAI

Dibner, Y.; Brandt, N.; Curcin, V; Krentz, A.; Lozhkina, A.; Luster, A.; Pere, A.; Jaun, A.

Machine learning based prediction models for cardiovascular disease risk using electronic health records data: systematic review and meta-analysis 使用电子健康记录数据的基于机器学习的心血管疾病风险预测模型: 系统评价和荟萃分析

EUROPEAN HEART JOURNAL - DIGITAL HEALTH

IF4.4

2024-10-27

OAAI

Liu, Tianyi; Krentz, Andrew; Lu, Lei; Curcin, Vasa

Rising to the challenge of cardio-renal-metabolic disease in the 21st century: Translating evidence into best clinical practice to prevent and manage atherosclerosis 21世纪心肾代谢疾病的挑战: 将证据转化为预防和管理动脉粥样硬化的最佳临床实践

ATHEROSCLEROSIS

IF5.7

2024-09-01

PREAI

Krentz, Andrew; Jacob, Stephan; Heiss, Christian; Sattar, Naveed; Lim, Soo; Khunti, Kamlesh; Eckel, Robert H.

Therapy Recommendation Neural Network for Comorbid Cardiometabolic Diseases

DIABETES

IF7.5

2024-06-14

PREAI

Dibner, Yaron; Brandt, Nicolas; Krentz, Andrew; Lozhkina, Arina; Luster, Alexandre; Pere, Arthur; Jaun, Andre

A Neural Network Model for the Prediction of Comorbid Cardiometabolic Diseases-Proof of Concept Using UK Primary Care Data

DIABETES

IF7.5

2023-06-20

PREAI

Krentz, Andrew; Brunschwig, Lucas S.; Dibner, Yaron; Michel, Hugo; Jaun, Andre

Evolution of Type 2 Diabetes Management from a Glucocentric Approach to Cardio-Renal Risk Reduction: The New Paradigm of Care

DRUGS

IF14.4

2021-07-24

PREAI

Jacob, Stephan; Krentz, Andrew J.; Deanfield, John; Ryden, Lars

Managing hyperlipidaemia in patients with COVID-19 and during its pandemic: An expert panel position statement from HEART UK

ATHEROSCLEROSIS

IF5.7

2020-11-01

OAAI

Iqbal, Zohaib; Ho, Jan Hoong; Adam, Safwaan; France, Michael; Syed, Akheel; Neely, Dermot; Rees, Alan; Khatib, Rani; Cegla, Jaimini; Byrne, Christopher; Qureshi, Nadeem; Capps, Nigel; Ferns, Gordon; Payne, Jules; Schofield, Jonathan; Nicholson, Kirsty; Datta, Dev; Pottle, Alison; Halcox, Julian; Krentz, Andrew; Durrington, Paul; Soran, Handrean

Evolution of pharmacological obesity treatments: focus on adverse side-effect profiles

DIABETES OBESITY & METABOLISM

IF5.7

2016-04-26

132

PREAI

Krentz, A. J.; Fujioka, K.; Hompesch, M.

Anti-Obesity Pharmacotherapy: The Intercontinental Regulatory Divide

DRUGS

IF14.4

2015-05-12

OAAI